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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8718
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    Explanations

    names of individuals, particularly those starting with the letter "G" and "H"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.92
    Discussion
    -0.76
    egal
    -0.75
    kat
    -0.75
    wrapper
    -0.74
    kers
    -0.73
    ked
    -0.72
    anova
    -0.72
    atile
    -0.72
    adin
    -0.71
    POSITIVE LOGITS
     Griffith
    0.89
    rious
    0.85
     Kaufman
    0.77
     Berger
    0.75
     Friedman
    0.75
     Chandler
    0.74
     Herbert
    0.74
     Cheong
    0.74
     Burr
    0.73
     Ford
    0.73
    Activations Density 0.073%

    No Known Activations